401-3920-69L  Theory and Applications of Machine Learning

SemesterAutumn Semester 2019
LecturersP. Cheridito
Periodicitynon-recurring course
Language of instructionEnglish
CommentNumber of participants limited to 26.


401-3920-69 STheory and Applications of Machine Learning2 hrs
Wed15:15-17:00HG G 26.1 »
P. Cheridito

Catalogue data

AbstractThe seminar covers different aspects of machine learning.
ObjectiveThe goal is to learn some of the mathematical methods used in machine learning.
LiteratureUnderstanding Machine Learning: From Theory to Algorithms by Shalev-Shwartz and Ben-David
Prerequisites / NoticeParticipants are required to attend and give a presentation.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersP. Cheridito
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


Places26 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupMathematics BSc (404000) starting semester 05
Mathematics MSc (437000)
Applied Mathematics MSc (437100)
Waiting listuntil 18.09.2019

Offered in

Mathematics BachelorSeminarsWInformation
Mathematics MasterSeminarsWInformation